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bfloat16-eager-onnxruntime,onnxruntime,ort:1.19.2,optimum_benchmark.backends.onnxruntime.backend.ORTBackend,text-generation,transformers,llama,meta-llama/Meta-Llama-3-8B,meta-llama/Meta-Llama-3-8B,cpu,0,42,,,True,True,True,True,False,bfloat16,CPUExecutionProvider,True,,,,False,False,False,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.226-214.880.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.5.0.dev0,08c9f59440cf4e5a5d6711ec19e8329ab2de652d,4.45.2,,1.0.1,,,,1.23.2,,,,,,False,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/src/optimum-benchmark/optimum_benchmark/benchmark/base.py"", line 51, in launch report = launcher.launch(worker=Benchmark.run, worker_args=[config]) File ""/workspace/src/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch raise ChildProcessError(response[""traceback""]) ChildProcessError: Traceback (most recent call last): File ""/workspace/src/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 103, in target report = worker(*worker_args) File ""/workspace/src/optimum-benchmark/optimum_benchmark/benchmark/base.py"", line 78, in run report = scenario.run(backend) File ""/workspace/src/optimum-benchmark/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run self.run_model_loading_tracking(backend) File ""/workspace/src/optimum-benchmark/optimum_benchmark/scenarios/inference/scenario.py"", line 168, in run_model_loading_tracking backend.load() File ""/workspace/src/optimum-benchmark/optimum_benchmark/backends/onnxruntime/backend.py"", line 86, in load self.load_ortmodel_with_no_weights() File ""/workspace/src/optimum-benchmark/optimum_benchmark/backends/onnxruntime/backend.py"", line 133, in load_ortmodel_with_no_weights self.load_ortmodel_from_pretrained() File ""/workspace/src/optimum-benchmark/optimum_benchmark/backends/onnxruntime/backend.py"", line 118, in load_ortmodel_from_pretrained self.pretrained_model = self.ort_model_loader.from_pretrained( File ""/usr/local/lib/python3.10/dist-packages/optimum/onnxruntime/modeling_ort.py"", line 737, in from_pretrained return super().from_pretrained( File ""/usr/local/lib/python3.10/dist-packages/optimum/modeling_base.py"", line 438, in from_pretrained return from_pretrained_method( File ""/usr/local/lib/python3.10/dist-packages/optimum/onnxruntime/modeling_decoder.py"", line 653, in _from_transformers main_export( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/__main__.py"", line 373, in main_export onnx_export_from_model( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 1193, in onnx_export_from_model _, onnx_outputs = export_models( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 783, in export_models export( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 888, in export export_output = export_pytorch( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 584, in export_pytorch onnx_export( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/__init__.py"", line 375, in export export( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py"", line 502, in export _export( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py"", line 1564, in _export graph, params_dict, torch_out = _model_to_graph( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py"", line 1117, in _model_to_graph graph = _optimize_graph( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py"", line 663, in _optimize_graph _C._jit_pass_onnx_graph_shape_type_inference( RuntimeError: The serialized model is larger than the 2GiB limit imposed by the protobuf library. Therefore the output file must be a file path, so that the ONNX external data can be written to the same directory. Please specify the output file name. " float32-eager-onnxruntime,onnxruntime,ort:1.19.2,optimum_benchmark.backends.onnxruntime.backend.ORTBackend,text-generation,transformers,llama,meta-llama/Llama-3.1-405B,meta-llama/Llama-3.1-405B,cpu,0,42,,,True,True,True,True,False,float32,CPUExecutionProvider,True,,,,False,False,False,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.226-214.880.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.5.0.dev0,08c9f59440cf4e5a5d6711ec19e8329ab2de652d,4.45.2,,1.0.1,,,,1.23.2,,,,,,False,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/src/optimum-benchmark/optimum_benchmark/benchmark/base.py"", line 51, in launch report = launcher.launch(worker=Benchmark.run, worker_args=[config]) File ""/workspace/src/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 57, in launch raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"") RuntimeError: Isolated process exited with non-zero code -9 " float32-eager-onnxruntime,onnxruntime,ort:1.19.2,optimum_benchmark.backends.onnxruntime.backend.ORTBackend,text-generation,transformers,llama,meta-llama/Llama-3.1-8B-Instruct,meta-llama/Llama-3.1-8B-Instruct,cpu,0,42,,,True,True,True,True,False,float32,CPUExecutionProvider,True,,,,False,False,False,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.226-214.880.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.5.0.dev0,08c9f59440cf4e5a5d6711ec19e8329ab2de652d,4.45.2,,1.0.1,,,,1.23.2,,,,,,False,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/src/optimum-benchmark/optimum_benchmark/benchmark/base.py"", line 51, in launch report = launcher.launch(worker=Benchmark.run, worker_args=[config]) File ""/workspace/src/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch raise ChildProcessError(response[""traceback""]) ChildProcessError: Traceback (most recent call last): File ""/workspace/src/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 103, in target report = worker(*worker_args) File ""/workspace/src/optimum-benchmark/optimum_benchmark/benchmark/base.py"", line 78, in run report = scenario.run(backend) File ""/workspace/src/optimum-benchmark/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run self.run_model_loading_tracking(backend) File ""/workspace/src/optimum-benchmark/optimum_benchmark/scenarios/inference/scenario.py"", line 168, in run_model_loading_tracking backend.load() File ""/workspace/src/optimum-benchmark/optimum_benchmark/backends/onnxruntime/backend.py"", line 86, in load self.load_ortmodel_with_no_weights() File ""/workspace/src/optimum-benchmark/optimum_benchmark/backends/onnxruntime/backend.py"", line 133, in load_ortmodel_with_no_weights self.load_ortmodel_from_pretrained() File ""/workspace/src/optimum-benchmark/optimum_benchmark/backends/onnxruntime/backend.py"", line 118, in load_ortmodel_from_pretrained self.pretrained_model = self.ort_model_loader.from_pretrained( File ""/usr/local/lib/python3.10/dist-packages/optimum/onnxruntime/modeling_ort.py"", line 737, in from_pretrained return super().from_pretrained( File ""/usr/local/lib/python3.10/dist-packages/optimum/modeling_base.py"", line 438, in from_pretrained return from_pretrained_method( File ""/usr/local/lib/python3.10/dist-packages/optimum/onnxruntime/modeling_decoder.py"", line 653, in _from_transformers main_export( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/__main__.py"", line 373, in main_export onnx_export_from_model( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 1193, in onnx_export_from_model _, onnx_outputs = export_models( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 783, in export_models export( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 888, in export export_output = export_pytorch( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 584, in export_pytorch onnx_export( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/__init__.py"", line 375, in export export( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py"", line 502, in export _export( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py"", line 1564, in _export graph, params_dict, torch_out = _model_to_graph( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py"", line 1117, in _model_to_graph graph = _optimize_graph( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py"", line 663, in _optimize_graph _C._jit_pass_onnx_graph_shape_type_inference( RuntimeError: The serialized model is larger than the 2GiB limit imposed by the protobuf library. Therefore the output file must be a file path, so that the ONNX external data can be written to the same directory. Please specify the output file name. " float32-eager-onnxruntime,onnxruntime,ort:1.19.2,optimum_benchmark.backends.onnxruntime.backend.ORTBackend,text-generation,transformers,llama,meta-llama/Meta-Llama-3-8B,meta-llama/Meta-Llama-3-8B,cpu,0,42,,,True,True,True,True,False,float32,CPUExecutionProvider,True,,,,False,False,False,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.226-214.880.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.5.0.dev0,08c9f59440cf4e5a5d6711ec19e8329ab2de652d,4.45.2,,1.0.1,,,,1.23.2,,,,,,False,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/src/optimum-benchmark/optimum_benchmark/benchmark/base.py"", line 51, in launch report = launcher.launch(worker=Benchmark.run, worker_args=[config]) File ""/workspace/src/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch raise ChildProcessError(response[""traceback""]) ChildProcessError: Traceback (most recent call last): File ""/workspace/src/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 103, in target report = worker(*worker_args) File ""/workspace/src/optimum-benchmark/optimum_benchmark/benchmark/base.py"", line 78, in run report = scenario.run(backend) File ""/workspace/src/optimum-benchmark/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run self.run_model_loading_tracking(backend) File ""/workspace/src/optimum-benchmark/optimum_benchmark/scenarios/inference/scenario.py"", line 168, in run_model_loading_tracking backend.load() File ""/workspace/src/optimum-benchmark/optimum_benchmark/backends/onnxruntime/backend.py"", line 86, in load self.load_ortmodel_with_no_weights() File ""/workspace/src/optimum-benchmark/optimum_benchmark/backends/onnxruntime/backend.py"", line 133, in load_ortmodel_with_no_weights self.load_ortmodel_from_pretrained() File ""/workspace/src/optimum-benchmark/optimum_benchmark/backends/onnxruntime/backend.py"", line 118, in load_ortmodel_from_pretrained self.pretrained_model = self.ort_model_loader.from_pretrained( File ""/usr/local/lib/python3.10/dist-packages/optimum/onnxruntime/modeling_ort.py"", line 737, in from_pretrained return super().from_pretrained( File ""/usr/local/lib/python3.10/dist-packages/optimum/modeling_base.py"", line 438, in from_pretrained return from_pretrained_method( File ""/usr/local/lib/python3.10/dist-packages/optimum/onnxruntime/modeling_decoder.py"", line 653, in _from_transformers main_export( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/__main__.py"", line 373, in main_export onnx_export_from_model( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 1193, in onnx_export_from_model _, onnx_outputs = export_models( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 783, in export_models export( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 888, in export export_output = export_pytorch( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 584, in export_pytorch onnx_export( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/__init__.py"", line 375, in export export( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py"", line 502, in export _export( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py"", line 1564, in _export graph, params_dict, torch_out = _model_to_graph( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py"", line 1117, in _model_to_graph graph = _optimize_graph( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py"", line 663, in _optimize_graph _C._jit_pass_onnx_graph_shape_type_inference( RuntimeError: The serialized model is larger than the 2GiB limit imposed by the protobuf library. Therefore the output file must be a file path, so that the ONNX external data can be written to the same directory. Please specify the output file name. " float32-eager-onnxruntime,onnxruntime,ort:1.19.2,optimum_benchmark.backends.onnxruntime.backend.ORTBackend,text-generation,transformers,llama,meta-llama/Meta-Llama-3-8B-Instruct,meta-llama/Meta-Llama-3-8B-Instruct,cpu,0,42,,,True,True,True,True,False,float32,CPUExecutionProvider,True,,,,False,False,False,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.226-214.880.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.5.0.dev0,08c9f59440cf4e5a5d6711ec19e8329ab2de652d,4.45.2,,1.0.1,,,,1.23.2,,,,,,False,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/src/optimum-benchmark/optimum_benchmark/benchmark/base.py"", line 51, in launch report = launcher.launch(worker=Benchmark.run, worker_args=[config]) File ""/workspace/src/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch raise ChildProcessError(response[""traceback""]) ChildProcessError: Traceback (most recent call last): File ""/workspace/src/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 103, in target report = worker(*worker_args) File ""/workspace/src/optimum-benchmark/optimum_benchmark/benchmark/base.py"", line 78, in run report = scenario.run(backend) File ""/workspace/src/optimum-benchmark/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run self.run_model_loading_tracking(backend) File ""/workspace/src/optimum-benchmark/optimum_benchmark/scenarios/inference/scenario.py"", line 168, in run_model_loading_tracking backend.load() File ""/workspace/src/optimum-benchmark/optimum_benchmark/backends/onnxruntime/backend.py"", line 86, in load self.load_ortmodel_with_no_weights() File ""/workspace/src/optimum-benchmark/optimum_benchmark/backends/onnxruntime/backend.py"", line 133, in load_ortmodel_with_no_weights self.load_ortmodel_from_pretrained() File ""/workspace/src/optimum-benchmark/optimum_benchmark/backends/onnxruntime/backend.py"", line 118, in load_ortmodel_from_pretrained self.pretrained_model = self.ort_model_loader.from_pretrained( File ""/usr/local/lib/python3.10/dist-packages/optimum/onnxruntime/modeling_ort.py"", line 737, in from_pretrained return super().from_pretrained( File ""/usr/local/lib/python3.10/dist-packages/optimum/modeling_base.py"", line 438, in from_pretrained return from_pretrained_method( File ""/usr/local/lib/python3.10/dist-packages/optimum/onnxruntime/modeling_decoder.py"", line 653, in _from_transformers main_export( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/__main__.py"", line 373, in main_export onnx_export_from_model( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 1193, in onnx_export_from_model _, onnx_outputs = export_models( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 783, in export_models export( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 888, in export export_output = export_pytorch( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 584, in export_pytorch onnx_export( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/__init__.py"", line 375, in export export( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py"", line 502, in export _export( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py"", line 1564, in _export graph, params_dict, torch_out = _model_to_graph( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py"", line 1117, in _model_to_graph graph = _optimize_graph( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py"", line 663, in _optimize_graph _C._jit_pass_onnx_graph_shape_type_inference( RuntimeError: The serialized model is larger than the 2GiB limit imposed by the protobuf library. Therefore the output file must be a file path, so that the ONNX external data can be written to the same directory. Please specify the output file name. " bfloat16-eager-onnxruntime,onnxruntime,ort:1.19.2,optimum_benchmark.backends.onnxruntime.backend.ORTBackend,text-generation,transformers,llama,meta-llama/Llama-3.1-8B-Instruct,meta-llama/Llama-3.1-8B-Instruct,cpu,0,42,,,True,True,True,True,False,bfloat16,CPUExecutionProvider,True,,,,False,False,False,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.226-214.880.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.5.0.dev0,08c9f59440cf4e5a5d6711ec19e8329ab2de652d,4.45.2,,1.0.1,,,,1.23.2,,,,,,False,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/src/optimum-benchmark/optimum_benchmark/benchmark/base.py"", line 51, in launch report = launcher.launch(worker=Benchmark.run, worker_args=[config]) File ""/workspace/src/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch raise ChildProcessError(response[""traceback""]) ChildProcessError: Traceback (most recent call last): File ""/workspace/src/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 103, in target report = worker(*worker_args) File ""/workspace/src/optimum-benchmark/optimum_benchmark/benchmark/base.py"", line 78, in run report = scenario.run(backend) File ""/workspace/src/optimum-benchmark/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run self.run_model_loading_tracking(backend) File ""/workspace/src/optimum-benchmark/optimum_benchmark/scenarios/inference/scenario.py"", line 168, in run_model_loading_tracking backend.load() File ""/workspace/src/optimum-benchmark/optimum_benchmark/backends/onnxruntime/backend.py"", line 86, in load self.load_ortmodel_with_no_weights() File ""/workspace/src/optimum-benchmark/optimum_benchmark/backends/onnxruntime/backend.py"", line 133, in load_ortmodel_with_no_weights self.load_ortmodel_from_pretrained() File ""/workspace/src/optimum-benchmark/optimum_benchmark/backends/onnxruntime/backend.py"", line 118, in load_ortmodel_from_pretrained self.pretrained_model = self.ort_model_loader.from_pretrained( File ""/usr/local/lib/python3.10/dist-packages/optimum/onnxruntime/modeling_ort.py"", line 737, in from_pretrained return super().from_pretrained( File ""/usr/local/lib/python3.10/dist-packages/optimum/modeling_base.py"", line 438, in from_pretrained return from_pretrained_method( File ""/usr/local/lib/python3.10/dist-packages/optimum/onnxruntime/modeling_decoder.py"", line 653, in _from_transformers main_export( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/__main__.py"", line 373, in main_export onnx_export_from_model( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 1193, in onnx_export_from_model _, onnx_outputs = export_models( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 783, in export_models export( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 888, in export export_output = export_pytorch( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 584, in export_pytorch onnx_export( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/__init__.py"", line 375, in export export( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py"", line 502, in export _export( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py"", line 1564, in _export graph, params_dict, torch_out = _model_to_graph( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py"", line 1117, in _model_to_graph graph = _optimize_graph( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py"", line 663, in _optimize_graph _C._jit_pass_onnx_graph_shape_type_inference( RuntimeError: The serialized model is larger than the 2GiB limit imposed by the protobuf library. Therefore the output file must be a file path, so that the ONNX external data can be written to the same directory. Please specify the output file name. " float32-sdpa-onnxruntime,onnxruntime,ort:1.19.2,optimum_benchmark.backends.onnxruntime.backend.ORTBackend,text-generation,transformers,llama,meta-llama/Llama-3.1-8B-Instruct,meta-llama/Llama-3.1-8B-Instruct,cpu,0,42,,,True,True,True,True,False,float32,CPUExecutionProvider,True,,,,False,False,False,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.226-214.880.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.5.0.dev0,08c9f59440cf4e5a5d6711ec19e8329ab2de652d,4.45.2,,1.0.1,,,,1.23.2,,,,,,False,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/src/optimum-benchmark/optimum_benchmark/benchmark/base.py"", line 51, in launch report = launcher.launch(worker=Benchmark.run, worker_args=[config]) File ""/workspace/src/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch raise ChildProcessError(response[""traceback""]) ChildProcessError: Traceback (most recent call last): File ""/workspace/src/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 103, in target report = worker(*worker_args) File ""/workspace/src/optimum-benchmark/optimum_benchmark/benchmark/base.py"", line 78, in run report = scenario.run(backend) File ""/workspace/src/optimum-benchmark/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run self.run_model_loading_tracking(backend) File ""/workspace/src/optimum-benchmark/optimum_benchmark/scenarios/inference/scenario.py"", line 168, in run_model_loading_tracking backend.load() File ""/workspace/src/optimum-benchmark/optimum_benchmark/backends/onnxruntime/backend.py"", line 86, in load self.load_ortmodel_with_no_weights() File ""/workspace/src/optimum-benchmark/optimum_benchmark/backends/onnxruntime/backend.py"", line 133, in load_ortmodel_with_no_weights self.load_ortmodel_from_pretrained() File ""/workspace/src/optimum-benchmark/optimum_benchmark/backends/onnxruntime/backend.py"", line 118, in load_ortmodel_from_pretrained self.pretrained_model = self.ort_model_loader.from_pretrained( File ""/usr/local/lib/python3.10/dist-packages/optimum/onnxruntime/modeling_ort.py"", line 737, in from_pretrained return super().from_pretrained( File ""/usr/local/lib/python3.10/dist-packages/optimum/modeling_base.py"", line 438, in from_pretrained return from_pretrained_method( File ""/usr/local/lib/python3.10/dist-packages/optimum/onnxruntime/modeling_decoder.py"", line 653, in _from_transformers main_export( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/__main__.py"", line 373, in main_export onnx_export_from_model( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 1193, in onnx_export_from_model _, onnx_outputs = export_models( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 783, in export_models export( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 888, in export export_output = export_pytorch( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 584, in export_pytorch onnx_export( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/__init__.py"", line 375, in export export( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py"", line 502, in export _export( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py"", line 1564, in _export graph, params_dict, torch_out = _model_to_graph( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py"", line 1117, in _model_to_graph graph = _optimize_graph( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py"", line 663, in _optimize_graph _C._jit_pass_onnx_graph_shape_type_inference( RuntimeError: The serialized model is larger than the 2GiB limit imposed by the protobuf library. Therefore the output file must be a file path, so that the ONNX external data can be written to the same directory. Please specify the output file name. " bfloat16-eager-onnxruntime,onnxruntime,ort:1.19.2,optimum_benchmark.backends.onnxruntime.backend.ORTBackend,text-generation,transformers,llama,meta-llama/Meta-Llama-3-8B-Instruct,meta-llama/Meta-Llama-3-8B-Instruct,cpu,0,42,,,True,True,True,True,False,bfloat16,CPUExecutionProvider,True,,,,False,False,False,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.226-214.880.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.5.0.dev0,08c9f59440cf4e5a5d6711ec19e8329ab2de652d,4.45.2,,1.0.1,,,,1.23.2,,,,,,False,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/src/optimum-benchmark/optimum_benchmark/benchmark/base.py"", line 51, in launch report = launcher.launch(worker=Benchmark.run, worker_args=[config]) File ""/workspace/src/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch raise ChildProcessError(response[""traceback""]) ChildProcessError: Traceback (most recent call last): File ""/workspace/src/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 103, in target report = worker(*worker_args) File ""/workspace/src/optimum-benchmark/optimum_benchmark/benchmark/base.py"", line 78, in run report = scenario.run(backend) File ""/workspace/src/optimum-benchmark/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run self.run_model_loading_tracking(backend) File ""/workspace/src/optimum-benchmark/optimum_benchmark/scenarios/inference/scenario.py"", line 168, in run_model_loading_tracking backend.load() File ""/workspace/src/optimum-benchmark/optimum_benchmark/backends/onnxruntime/backend.py"", line 86, in load self.load_ortmodel_with_no_weights() File ""/workspace/src/optimum-benchmark/optimum_benchmark/backends/onnxruntime/backend.py"", line 133, in load_ortmodel_with_no_weights self.load_ortmodel_from_pretrained() File ""/workspace/src/optimum-benchmark/optimum_benchmark/backends/onnxruntime/backend.py"", line 118, in load_ortmodel_from_pretrained self.pretrained_model = self.ort_model_loader.from_pretrained( File ""/usr/local/lib/python3.10/dist-packages/optimum/onnxruntime/modeling_ort.py"", line 737, in from_pretrained return super().from_pretrained( File ""/usr/local/lib/python3.10/dist-packages/optimum/modeling_base.py"", line 438, in from_pretrained return from_pretrained_method( File ""/usr/local/lib/python3.10/dist-packages/optimum/onnxruntime/modeling_decoder.py"", line 653, in _from_transformers main_export( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/__main__.py"", line 373, in main_export onnx_export_from_model( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 1193, in onnx_export_from_model _, onnx_outputs = export_models( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 783, in export_models export( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 888, in export export_output = export_pytorch( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 584, in export_pytorch onnx_export( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/__init__.py"", line 375, in export export( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py"", line 502, in export _export( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py"", line 1564, in _export graph, params_dict, torch_out = _model_to_graph( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py"", line 1117, in _model_to_graph graph = _optimize_graph( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py"", line 663, in _optimize_graph _C._jit_pass_onnx_graph_shape_type_inference( RuntimeError: The serialized model is larger than the 2GiB limit imposed by the protobuf library. Therefore the output file must be a file path, so that the ONNX external data can be written to the same directory. Please specify the output file name. " float32-sdpa-onnxruntime,onnxruntime,ort:1.19.2,optimum_benchmark.backends.onnxruntime.backend.ORTBackend,text-generation,transformers,llama,meta-llama/Meta-Llama-3-8B-Instruct,meta-llama/Meta-Llama-3-8B-Instruct,cpu,0,42,,,True,True,True,True,False,float32,CPUExecutionProvider,True,,,,False,False,False,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.226-214.880.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.5.0.dev0,08c9f59440cf4e5a5d6711ec19e8329ab2de652d,4.45.2,,1.0.1,,,,1.23.2,,,,,,False,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/src/optimum-benchmark/optimum_benchmark/benchmark/base.py"", line 51, in launch report = launcher.launch(worker=Benchmark.run, worker_args=[config]) File ""/workspace/src/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch raise ChildProcessError(response[""traceback""]) ChildProcessError: Traceback (most recent call last): File ""/workspace/src/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 103, in target report = worker(*worker_args) File ""/workspace/src/optimum-benchmark/optimum_benchmark/benchmark/base.py"", line 78, in run report = scenario.run(backend) File ""/workspace/src/optimum-benchmark/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run self.run_model_loading_tracking(backend) File ""/workspace/src/optimum-benchmark/optimum_benchmark/scenarios/inference/scenario.py"", line 168, in run_model_loading_tracking backend.load() File ""/workspace/src/optimum-benchmark/optimum_benchmark/backends/onnxruntime/backend.py"", line 86, in load self.load_ortmodel_with_no_weights() File ""/workspace/src/optimum-benchmark/optimum_benchmark/backends/onnxruntime/backend.py"", line 133, in load_ortmodel_with_no_weights self.load_ortmodel_from_pretrained() File ""/workspace/src/optimum-benchmark/optimum_benchmark/backends/onnxruntime/backend.py"", line 118, in load_ortmodel_from_pretrained self.pretrained_model = self.ort_model_loader.from_pretrained( File ""/usr/local/lib/python3.10/dist-packages/optimum/onnxruntime/modeling_ort.py"", line 737, in from_pretrained return super().from_pretrained( File ""/usr/local/lib/python3.10/dist-packages/optimum/modeling_base.py"", line 438, in from_pretrained return from_pretrained_method( File ""/usr/local/lib/python3.10/dist-packages/optimum/onnxruntime/modeling_decoder.py"", line 653, in _from_transformers main_export( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/__main__.py"", line 373, in main_export onnx_export_from_model( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 1193, in onnx_export_from_model _, onnx_outputs = export_models( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 783, in export_models export( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 888, in export export_output = export_pytorch( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 584, in export_pytorch onnx_export( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/__init__.py"", line 375, in export export( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py"", line 502, in export _export( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py"", line 1564, in _export graph, params_dict, torch_out = _model_to_graph( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py"", line 1117, in _model_to_graph graph = _optimize_graph( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py"", line 663, in _optimize_graph _C._jit_pass_onnx_graph_shape_type_inference( RuntimeError: The serialized model is larger than the 2GiB limit imposed by the protobuf library. Therefore the output file must be a file path, so that the ONNX external data can be written to the same directory. Please specify the output file name. " bfloat16-sdpa-onnxruntime,onnxruntime,ort:1.19.2,optimum_benchmark.backends.onnxruntime.backend.ORTBackend,text-generation,transformers,llama,meta-llama/Llama-3.1-405B,meta-llama/Llama-3.1-405B,cpu,0,42,,,True,True,True,True,False,bfloat16,CPUExecutionProvider,True,,,,False,False,False,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.226-214.880.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.5.0.dev0,08c9f59440cf4e5a5d6711ec19e8329ab2de652d,4.45.2,,1.0.1,,,,1.23.2,,,,,,False,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/src/optimum-benchmark/optimum_benchmark/benchmark/base.py"", line 51, in launch report = launcher.launch(worker=Benchmark.run, worker_args=[config]) File ""/workspace/src/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 57, in launch raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"") RuntimeError: Isolated process exited with non-zero code -9 " float32-sdpa-onnxruntime,onnxruntime,ort:1.19.2,optimum_benchmark.backends.onnxruntime.backend.ORTBackend,text-generation,transformers,llama,meta-llama/Llama-3.1-405B,meta-llama/Llama-3.1-405B,cpu,0,42,,,True,True,True,True,False,float32,CPUExecutionProvider,True,,,,False,False,False,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.226-214.880.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.5.0.dev0,08c9f59440cf4e5a5d6711ec19e8329ab2de652d,4.45.2,,1.0.1,,,,1.23.2,,,,,,False,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/src/optimum-benchmark/optimum_benchmark/benchmark/base.py"", line 51, in launch report = launcher.launch(worker=Benchmark.run, worker_args=[config]) File ""/workspace/src/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 57, in launch raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"") RuntimeError: Isolated process exited with non-zero code -9 " bfloat16-sdpa-onnxruntime,onnxruntime,ort:1.19.2,optimum_benchmark.backends.onnxruntime.backend.ORTBackend,text-generation,transformers,llama,meta-llama/Meta-Llama-3-8B,meta-llama/Meta-Llama-3-8B,cpu,0,42,,,True,True,True,True,False,bfloat16,CPUExecutionProvider,True,,,,False,False,False,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.226-214.880.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.5.0.dev0,08c9f59440cf4e5a5d6711ec19e8329ab2de652d,4.45.2,,1.0.1,,,,1.23.2,,,,,,False,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/src/optimum-benchmark/optimum_benchmark/benchmark/base.py"", line 51, in launch report = launcher.launch(worker=Benchmark.run, worker_args=[config]) File ""/workspace/src/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch raise ChildProcessError(response[""traceback""]) ChildProcessError: Traceback (most recent call last): File ""/workspace/src/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 103, in target report = worker(*worker_args) File ""/workspace/src/optimum-benchmark/optimum_benchmark/benchmark/base.py"", line 78, in run report = scenario.run(backend) File ""/workspace/src/optimum-benchmark/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run self.run_model_loading_tracking(backend) File ""/workspace/src/optimum-benchmark/optimum_benchmark/scenarios/inference/scenario.py"", line 168, in run_model_loading_tracking backend.load() File ""/workspace/src/optimum-benchmark/optimum_benchmark/backends/onnxruntime/backend.py"", line 86, in load self.load_ortmodel_with_no_weights() File ""/workspace/src/optimum-benchmark/optimum_benchmark/backends/onnxruntime/backend.py"", line 133, in load_ortmodel_with_no_weights self.load_ortmodel_from_pretrained() File ""/workspace/src/optimum-benchmark/optimum_benchmark/backends/onnxruntime/backend.py"", line 118, in load_ortmodel_from_pretrained self.pretrained_model = self.ort_model_loader.from_pretrained( File ""/usr/local/lib/python3.10/dist-packages/optimum/onnxruntime/modeling_ort.py"", line 737, in from_pretrained return super().from_pretrained( File ""/usr/local/lib/python3.10/dist-packages/optimum/modeling_base.py"", line 438, in from_pretrained return from_pretrained_method( File ""/usr/local/lib/python3.10/dist-packages/optimum/onnxruntime/modeling_decoder.py"", line 653, in _from_transformers main_export( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/__main__.py"", line 373, in main_export onnx_export_from_model( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 1193, in onnx_export_from_model _, onnx_outputs = export_models( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 783, in export_models export( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 888, in export export_output = export_pytorch( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 584, in export_pytorch onnx_export( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/__init__.py"", line 375, in export export( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py"", line 502, in export _export( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py"", line 1564, in _export graph, params_dict, torch_out = _model_to_graph( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py"", line 1117, in _model_to_graph graph = _optimize_graph( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py"", line 663, in _optimize_graph _C._jit_pass_onnx_graph_shape_type_inference( RuntimeError: The serialized model is larger than the 2GiB limit imposed by the protobuf library. Therefore the output file must be a file path, so that the ONNX external data can be written to the same directory. Please specify the output file name. " float16-eager-onnxruntime,onnxruntime,ort:1.19.2,optimum_benchmark.backends.onnxruntime.backend.ORTBackend,text-generation,transformers,llama,meta-llama/Meta-Llama-3-8B-Instruct,meta-llama/Meta-Llama-3-8B-Instruct,cpu,0,42,,,True,True,True,True,False,float16,CPUExecutionProvider,True,,,,False,False,False,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.226-214.880.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.5.0.dev0,08c9f59440cf4e5a5d6711ec19e8329ab2de652d,4.45.2,,1.0.1,,,,1.23.2,,,,,,False,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/src/optimum-benchmark/optimum_benchmark/benchmark/base.py"", line 51, in launch report = launcher.launch(worker=Benchmark.run, worker_args=[config]) File ""/workspace/src/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch raise ChildProcessError(response[""traceback""]) ChildProcessError: Traceback (most recent call last): File ""/workspace/src/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 103, in target report = worker(*worker_args) File ""/workspace/src/optimum-benchmark/optimum_benchmark/benchmark/base.py"", line 78, in run report = scenario.run(backend) File ""/workspace/src/optimum-benchmark/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run self.run_model_loading_tracking(backend) File ""/workspace/src/optimum-benchmark/optimum_benchmark/scenarios/inference/scenario.py"", line 168, in run_model_loading_tracking backend.load() File ""/workspace/src/optimum-benchmark/optimum_benchmark/backends/onnxruntime/backend.py"", line 86, in load self.load_ortmodel_with_no_weights() File ""/workspace/src/optimum-benchmark/optimum_benchmark/backends/onnxruntime/backend.py"", line 133, in load_ortmodel_with_no_weights self.load_ortmodel_from_pretrained() File ""/workspace/src/optimum-benchmark/optimum_benchmark/backends/onnxruntime/backend.py"", line 118, in load_ortmodel_from_pretrained self.pretrained_model = self.ort_model_loader.from_pretrained( File ""/usr/local/lib/python3.10/dist-packages/optimum/onnxruntime/modeling_ort.py"", line 737, in from_pretrained return super().from_pretrained( File ""/usr/local/lib/python3.10/dist-packages/optimum/modeling_base.py"", line 438, in from_pretrained return from_pretrained_method( File ""/usr/local/lib/python3.10/dist-packages/optimum/onnxruntime/modeling_decoder.py"", line 653, in _from_transformers main_export( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/__main__.py"", line 373, in main_export onnx_export_from_model( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 1193, in onnx_export_from_model _, onnx_outputs = export_models( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 783, in export_models export( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 888, in export export_output = export_pytorch( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 584, in export_pytorch onnx_export( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/__init__.py"", line 375, in export export( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py"", line 502, in export _export( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py"", line 1564, in _export graph, params_dict, torch_out = _model_to_graph( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py"", line 1117, in _model_to_graph graph = _optimize_graph( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py"", line 663, in _optimize_graph _C._jit_pass_onnx_graph_shape_type_inference( RuntimeError: The serialized model is larger than the 2GiB limit imposed by the protobuf library. Therefore the output file must be a file path, so that the ONNX external data can be written to the same directory. Please specify the output file name. " float16-eager-onnxruntime,onnxruntime,ort:1.19.2,optimum_benchmark.backends.onnxruntime.backend.ORTBackend,text-generation,transformers,llama,meta-llama/Llama-3.1-8B-Instruct,meta-llama/Llama-3.1-8B-Instruct,cpu,0,42,,,True,True,True,True,False,float16,CPUExecutionProvider,True,,,,False,False,False,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.226-214.880.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.5.0.dev0,08c9f59440cf4e5a5d6711ec19e8329ab2de652d,4.45.2,,1.0.1,,,,1.23.2,,,,,,False,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/src/optimum-benchmark/optimum_benchmark/benchmark/base.py"", line 51, in launch report = launcher.launch(worker=Benchmark.run, worker_args=[config]) File ""/workspace/src/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch raise ChildProcessError(response[""traceback""]) ChildProcessError: Traceback (most recent call last): File ""/workspace/src/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 103, in target report = worker(*worker_args) File ""/workspace/src/optimum-benchmark/optimum_benchmark/benchmark/base.py"", line 78, in run report = scenario.run(backend) File ""/workspace/src/optimum-benchmark/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run self.run_model_loading_tracking(backend) File ""/workspace/src/optimum-benchmark/optimum_benchmark/scenarios/inference/scenario.py"", line 168, in run_model_loading_tracking backend.load() File ""/workspace/src/optimum-benchmark/optimum_benchmark/backends/onnxruntime/backend.py"", line 86, in load self.load_ortmodel_with_no_weights() File ""/workspace/src/optimum-benchmark/optimum_benchmark/backends/onnxruntime/backend.py"", line 133, in load_ortmodel_with_no_weights self.load_ortmodel_from_pretrained() File ""/workspace/src/optimum-benchmark/optimum_benchmark/backends/onnxruntime/backend.py"", line 118, in load_ortmodel_from_pretrained self.pretrained_model = self.ort_model_loader.from_pretrained( File ""/usr/local/lib/python3.10/dist-packages/optimum/onnxruntime/modeling_ort.py"", line 737, in from_pretrained return super().from_pretrained( File ""/usr/local/lib/python3.10/dist-packages/optimum/modeling_base.py"", line 438, in from_pretrained return from_pretrained_method( File ""/usr/local/lib/python3.10/dist-packages/optimum/onnxruntime/modeling_decoder.py"", line 653, in _from_transformers main_export( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/__main__.py"", line 373, in main_export onnx_export_from_model( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 1193, in onnx_export_from_model _, onnx_outputs = export_models( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 783, in export_models export( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 888, in export export_output = export_pytorch( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 584, in export_pytorch onnx_export( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/__init__.py"", line 375, in export export( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py"", line 502, in export _export( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py"", line 1564, in _export graph, params_dict, torch_out = _model_to_graph( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py"", line 1117, in _model_to_graph graph = _optimize_graph( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py"", line 663, in _optimize_graph _C._jit_pass_onnx_graph_shape_type_inference( RuntimeError: The serialized model is larger than the 2GiB limit imposed by the protobuf library. Therefore the output file must be a file path, so that the ONNX external data can be written to the same directory. Please specify the output file name. " bfloat16-eager-onnxruntime,onnxruntime,ort:1.19.2,optimum_benchmark.backends.onnxruntime.backend.ORTBackend,text-generation,transformers,llama,meta-llama/Llama-3.1-405B,meta-llama/Llama-3.1-405B,cpu,0,42,,,True,True,True,True,False,bfloat16,CPUExecutionProvider,True,,,,False,False,False,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.226-214.880.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.5.0.dev0,08c9f59440cf4e5a5d6711ec19e8329ab2de652d,4.45.2,,1.0.1,,,,1.23.2,,,,,,False,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/src/optimum-benchmark/optimum_benchmark/benchmark/base.py"", line 51, in launch report = launcher.launch(worker=Benchmark.run, worker_args=[config]) File ""/workspace/src/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 57, in launch raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"") RuntimeError: Isolated process exited with non-zero code -9 " float16-sdpa-onnxruntime,onnxruntime,ort:1.19.2,optimum_benchmark.backends.onnxruntime.backend.ORTBackend,text-generation,transformers,llama,meta-llama/Llama-3.1-8B-Instruct,meta-llama/Llama-3.1-8B-Instruct,cpu,0,42,,,True,True,True,True,False,float16,CPUExecutionProvider,True,,,,False,False,False,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.226-214.880.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.5.0.dev0,08c9f59440cf4e5a5d6711ec19e8329ab2de652d,4.45.2,,1.0.1,,,,1.23.2,,,,,,False,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/src/optimum-benchmark/optimum_benchmark/benchmark/base.py"", line 51, in launch report = launcher.launch(worker=Benchmark.run, worker_args=[config]) File ""/workspace/src/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch raise ChildProcessError(response[""traceback""]) ChildProcessError: Traceback (most recent call last): File ""/workspace/src/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 103, in target report = worker(*worker_args) File ""/workspace/src/optimum-benchmark/optimum_benchmark/benchmark/base.py"", line 78, in run report = scenario.run(backend) File ""/workspace/src/optimum-benchmark/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run self.run_model_loading_tracking(backend) File ""/workspace/src/optimum-benchmark/optimum_benchmark/scenarios/inference/scenario.py"", line 168, in run_model_loading_tracking backend.load() File ""/workspace/src/optimum-benchmark/optimum_benchmark/backends/onnxruntime/backend.py"", line 86, in load self.load_ortmodel_with_no_weights() File ""/workspace/src/optimum-benchmark/optimum_benchmark/backends/onnxruntime/backend.py"", line 133, in load_ortmodel_with_no_weights self.load_ortmodel_from_pretrained() File ""/workspace/src/optimum-benchmark/optimum_benchmark/backends/onnxruntime/backend.py"", line 118, in load_ortmodel_from_pretrained self.pretrained_model = self.ort_model_loader.from_pretrained( File ""/usr/local/lib/python3.10/dist-packages/optimum/onnxruntime/modeling_ort.py"", line 737, in from_pretrained return super().from_pretrained( File ""/usr/local/lib/python3.10/dist-packages/optimum/modeling_base.py"", line 438, in from_pretrained return from_pretrained_method( File ""/usr/local/lib/python3.10/dist-packages/optimum/onnxruntime/modeling_decoder.py"", line 653, in _from_transformers main_export( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/__main__.py"", line 373, in main_export onnx_export_from_model( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 1193, in onnx_export_from_model _, onnx_outputs = export_models( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 783, in export_models export( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 888, in export export_output = export_pytorch( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 584, in export_pytorch onnx_export( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/__init__.py"", line 375, in export export( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py"", line 502, in export _export( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py"", line 1564, in _export graph, params_dict, torch_out = _model_to_graph( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py"", line 1117, in _model_to_graph graph = _optimize_graph( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py"", line 663, in _optimize_graph _C._jit_pass_onnx_graph_shape_type_inference( RuntimeError: The serialized model is larger than the 2GiB limit imposed by the protobuf library. Therefore the output file must be a file path, so that the ONNX external data can be written to the same directory. Please specify the output file name. " bfloat16-sdpa-onnxruntime,onnxruntime,ort:1.19.2,optimum_benchmark.backends.onnxruntime.backend.ORTBackend,text-generation,transformers,llama,meta-llama/Meta-Llama-3-8B-Instruct,meta-llama/Meta-Llama-3-8B-Instruct,cpu,0,42,,,True,True,True,True,False,bfloat16,CPUExecutionProvider,True,,,,False,False,False,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.226-214.880.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.5.0.dev0,08c9f59440cf4e5a5d6711ec19e8329ab2de652d,4.45.2,,1.0.1,,,,1.23.2,,,,,,False,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/src/optimum-benchmark/optimum_benchmark/benchmark/base.py"", line 51, in launch report = launcher.launch(worker=Benchmark.run, worker_args=[config]) File ""/workspace/src/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch raise ChildProcessError(response[""traceback""]) ChildProcessError: Traceback (most recent call last): File ""/workspace/src/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 103, in target report = worker(*worker_args) File ""/workspace/src/optimum-benchmark/optimum_benchmark/benchmark/base.py"", line 78, in run report = scenario.run(backend) File ""/workspace/src/optimum-benchmark/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run self.run_model_loading_tracking(backend) File ""/workspace/src/optimum-benchmark/optimum_benchmark/scenarios/inference/scenario.py"", line 168, in run_model_loading_tracking backend.load() File ""/workspace/src/optimum-benchmark/optimum_benchmark/backends/onnxruntime/backend.py"", line 86, in load self.load_ortmodel_with_no_weights() File ""/workspace/src/optimum-benchmark/optimum_benchmark/backends/onnxruntime/backend.py"", line 133, in load_ortmodel_with_no_weights self.load_ortmodel_from_pretrained() File ""/workspace/src/optimum-benchmark/optimum_benchmark/backends/onnxruntime/backend.py"", line 118, in load_ortmodel_from_pretrained self.pretrained_model = self.ort_model_loader.from_pretrained( File ""/usr/local/lib/python3.10/dist-packages/optimum/onnxruntime/modeling_ort.py"", line 737, in from_pretrained return super().from_pretrained( File ""/usr/local/lib/python3.10/dist-packages/optimum/modeling_base.py"", line 438, in from_pretrained return from_pretrained_method( File ""/usr/local/lib/python3.10/dist-packages/optimum/onnxruntime/modeling_decoder.py"", line 653, in _from_transformers main_export( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/__main__.py"", line 373, in main_export onnx_export_from_model( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 1193, in onnx_export_from_model _, onnx_outputs = export_models( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 783, in export_models export( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 888, in export export_output = export_pytorch( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 584, in export_pytorch onnx_export( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/__init__.py"", line 375, in export export( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py"", line 502, in export _export( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py"", line 1564, in _export graph, params_dict, torch_out = _model_to_graph( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py"", line 1117, in _model_to_graph graph = _optimize_graph( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py"", line 663, in _optimize_graph _C._jit_pass_onnx_graph_shape_type_inference( RuntimeError: The serialized model is larger than the 2GiB limit imposed by the protobuf library. Therefore the output file must be a file path, so that the ONNX external data can be written to the same directory. Please specify the output file name. " float16-sdpa-onnxruntime,onnxruntime,ort:1.19.2,optimum_benchmark.backends.onnxruntime.backend.ORTBackend,text-generation,transformers,llama,meta-llama/Meta-Llama-3-8B-Instruct,meta-llama/Meta-Llama-3-8B-Instruct,cpu,0,42,,,True,True,True,True,False,float16,CPUExecutionProvider,True,,,,False,False,False,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.226-214.880.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.5.0.dev0,08c9f59440cf4e5a5d6711ec19e8329ab2de652d,4.45.2,,1.0.1,,,,1.23.2,,,,,,False,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/src/optimum-benchmark/optimum_benchmark/benchmark/base.py"", line 51, in launch report = launcher.launch(worker=Benchmark.run, worker_args=[config]) File ""/workspace/src/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch raise ChildProcessError(response[""traceback""]) ChildProcessError: Traceback (most recent call last): File ""/workspace/src/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 103, in target report = worker(*worker_args) File ""/workspace/src/optimum-benchmark/optimum_benchmark/benchmark/base.py"", line 78, in run report = scenario.run(backend) File ""/workspace/src/optimum-benchmark/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run self.run_model_loading_tracking(backend) File ""/workspace/src/optimum-benchmark/optimum_benchmark/scenarios/inference/scenario.py"", line 168, in run_model_loading_tracking backend.load() File ""/workspace/src/optimum-benchmark/optimum_benchmark/backends/onnxruntime/backend.py"", line 86, in load self.load_ortmodel_with_no_weights() File ""/workspace/src/optimum-benchmark/optimum_benchmark/backends/onnxruntime/backend.py"", line 133, in load_ortmodel_with_no_weights self.load_ortmodel_from_pretrained() File ""/workspace/src/optimum-benchmark/optimum_benchmark/backends/onnxruntime/backend.py"", line 118, in load_ortmodel_from_pretrained self.pretrained_model = self.ort_model_loader.from_pretrained( File ""/usr/local/lib/python3.10/dist-packages/optimum/onnxruntime/modeling_ort.py"", line 737, in from_pretrained return super().from_pretrained( File ""/usr/local/lib/python3.10/dist-packages/optimum/modeling_base.py"", line 438, in from_pretrained return from_pretrained_method( File ""/usr/local/lib/python3.10/dist-packages/optimum/onnxruntime/modeling_decoder.py"", line 653, in _from_transformers main_export( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/__main__.py"", line 373, in main_export onnx_export_from_model( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 1193, in onnx_export_from_model _, onnx_outputs = export_models( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 783, in export_models export( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 888, in export export_output = export_pytorch( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 584, in export_pytorch onnx_export( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/__init__.py"", line 375, in export export( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py"", line 502, in export _export( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py"", line 1564, in _export graph, params_dict, torch_out = _model_to_graph( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py"", line 1117, in _model_to_graph graph = _optimize_graph( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py"", line 663, in _optimize_graph _C._jit_pass_onnx_graph_shape_type_inference( RuntimeError: The serialized model is larger than the 2GiB limit imposed by the protobuf library. Therefore the output file must be a file path, so that the ONNX external data can be written to the same directory. Please specify the output file name. " float16-eager-onnxruntime,onnxruntime,ort:1.19.2,optimum_benchmark.backends.onnxruntime.backend.ORTBackend,text-generation,transformers,llama,meta-llama/Llama-3.1-405B,meta-llama/Llama-3.1-405B,cpu,0,42,,,True,True,True,True,False,float16,CPUExecutionProvider,True,,,,False,False,False,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.226-214.880.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.5.0.dev0,08c9f59440cf4e5a5d6711ec19e8329ab2de652d,4.45.2,,1.0.1,,,,1.23.2,,,,,,False,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/src/optimum-benchmark/optimum_benchmark/benchmark/base.py"", line 51, in launch report = launcher.launch(worker=Benchmark.run, worker_args=[config]) File ""/workspace/src/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 57, in launch raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"") RuntimeError: Isolated process exited with non-zero code -9 " float32-sdpa-onnxruntime,onnxruntime,ort:1.19.2,optimum_benchmark.backends.onnxruntime.backend.ORTBackend,text-generation,transformers,llama,meta-llama/Meta-Llama-3-8B,meta-llama/Meta-Llama-3-8B,cpu,0,42,,,True,True,True,True,False,float32,CPUExecutionProvider,True,,,,False,False,False,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.226-214.880.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.5.0.dev0,08c9f59440cf4e5a5d6711ec19e8329ab2de652d,4.45.2,,1.0.1,,,,1.23.2,,,,,,False,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/src/optimum-benchmark/optimum_benchmark/benchmark/base.py"", line 51, in launch report = launcher.launch(worker=Benchmark.run, worker_args=[config]) File ""/workspace/src/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch raise ChildProcessError(response[""traceback""]) ChildProcessError: Traceback (most recent call last): File ""/workspace/src/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 103, in target report = worker(*worker_args) File ""/workspace/src/optimum-benchmark/optimum_benchmark/benchmark/base.py"", line 78, in run report = scenario.run(backend) File ""/workspace/src/optimum-benchmark/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run self.run_model_loading_tracking(backend) File ""/workspace/src/optimum-benchmark/optimum_benchmark/scenarios/inference/scenario.py"", line 168, in run_model_loading_tracking backend.load() File ""/workspace/src/optimum-benchmark/optimum_benchmark/backends/onnxruntime/backend.py"", line 86, in load self.load_ortmodel_with_no_weights() File ""/workspace/src/optimum-benchmark/optimum_benchmark/backends/onnxruntime/backend.py"", line 133, in load_ortmodel_with_no_weights self.load_ortmodel_from_pretrained() File ""/workspace/src/optimum-benchmark/optimum_benchmark/backends/onnxruntime/backend.py"", line 118, in load_ortmodel_from_pretrained self.pretrained_model = self.ort_model_loader.from_pretrained( File ""/usr/local/lib/python3.10/dist-packages/optimum/onnxruntime/modeling_ort.py"", line 737, in from_pretrained return super().from_pretrained( File ""/usr/local/lib/python3.10/dist-packages/optimum/modeling_base.py"", line 438, in from_pretrained return from_pretrained_method( File ""/usr/local/lib/python3.10/dist-packages/optimum/onnxruntime/modeling_decoder.py"", line 653, in _from_transformers main_export( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/__main__.py"", line 373, in main_export onnx_export_from_model( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 1193, in onnx_export_from_model _, onnx_outputs = export_models( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 783, in export_models export( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 888, in export export_output = export_pytorch( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 584, in export_pytorch onnx_export( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/__init__.py"", line 375, in export export( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py"", line 502, in export _export( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py"", line 1564, in _export graph, params_dict, torch_out = _model_to_graph( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py"", line 1117, in _model_to_graph graph = _optimize_graph( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py"", line 663, in _optimize_graph _C._jit_pass_onnx_graph_shape_type_inference( RuntimeError: The serialized model is larger than the 2GiB limit imposed by the protobuf library. Therefore the output file must be a file path, so that the ONNX external data can be written to the same directory. Please specify the output file name. " float16-eager-onnxruntime,onnxruntime,ort:1.19.2,optimum_benchmark.backends.onnxruntime.backend.ORTBackend,text-generation,transformers,llama,meta-llama/Meta-Llama-3-8B,meta-llama/Meta-Llama-3-8B,cpu,0,42,,,True,True,True,True,False,float16,CPUExecutionProvider,True,,,,False,False,False,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.226-214.880.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.5.0.dev0,08c9f59440cf4e5a5d6711ec19e8329ab2de652d,4.45.2,,1.0.1,,,,1.23.2,,,,,,False,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/src/optimum-benchmark/optimum_benchmark/benchmark/base.py"", line 51, in launch report = launcher.launch(worker=Benchmark.run, worker_args=[config]) File ""/workspace/src/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch raise ChildProcessError(response[""traceback""]) ChildProcessError: Traceback (most recent call last): File ""/workspace/src/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 103, in target report = worker(*worker_args) File ""/workspace/src/optimum-benchmark/optimum_benchmark/benchmark/base.py"", line 78, in run report = scenario.run(backend) File ""/workspace/src/optimum-benchmark/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run self.run_model_loading_tracking(backend) File ""/workspace/src/optimum-benchmark/optimum_benchmark/scenarios/inference/scenario.py"", line 168, in run_model_loading_tracking backend.load() File ""/workspace/src/optimum-benchmark/optimum_benchmark/backends/onnxruntime/backend.py"", line 86, in load self.load_ortmodel_with_no_weights() File ""/workspace/src/optimum-benchmark/optimum_benchmark/backends/onnxruntime/backend.py"", line 133, in load_ortmodel_with_no_weights self.load_ortmodel_from_pretrained() File ""/workspace/src/optimum-benchmark/optimum_benchmark/backends/onnxruntime/backend.py"", line 118, in load_ortmodel_from_pretrained self.pretrained_model = self.ort_model_loader.from_pretrained( File ""/usr/local/lib/python3.10/dist-packages/optimum/onnxruntime/modeling_ort.py"", line 737, in from_pretrained return super().from_pretrained( File ""/usr/local/lib/python3.10/dist-packages/optimum/modeling_base.py"", line 438, in from_pretrained return from_pretrained_method( File ""/usr/local/lib/python3.10/dist-packages/optimum/onnxruntime/modeling_decoder.py"", line 653, in _from_transformers main_export( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/__main__.py"", line 373, in main_export onnx_export_from_model( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 1193, in onnx_export_from_model _, onnx_outputs = export_models( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 783, in export_models export( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 888, in export export_output = export_pytorch( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 584, in export_pytorch onnx_export( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/__init__.py"", line 375, in export export( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py"", line 502, in export _export( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py"", line 1564, in _export graph, params_dict, torch_out = _model_to_graph( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py"", line 1117, in _model_to_graph graph = _optimize_graph( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py"", line 663, in _optimize_graph _C._jit_pass_onnx_graph_shape_type_inference( RuntimeError: The serialized model is larger than the 2GiB limit imposed by the protobuf library. Therefore the output file must be a file path, so that the ONNX external data can be written to the same directory. Please specify the output file name. " bfloat16-sdpa-onnxruntime,onnxruntime,ort:1.19.2,optimum_benchmark.backends.onnxruntime.backend.ORTBackend,text-generation,transformers,llama,meta-llama/Llama-3.1-8B-Instruct,meta-llama/Llama-3.1-8B-Instruct,cpu,0,42,,,True,True,True,True,False,bfloat16,CPUExecutionProvider,True,,,,False,False,False,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.226-214.880.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.5.0.dev0,08c9f59440cf4e5a5d6711ec19e8329ab2de652d,4.45.2,,1.0.1,,,,1.23.2,,,,,,False,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/src/optimum-benchmark/optimum_benchmark/benchmark/base.py"", line 51, in launch report = launcher.launch(worker=Benchmark.run, worker_args=[config]) File ""/workspace/src/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch raise ChildProcessError(response[""traceback""]) ChildProcessError: Traceback (most recent call last): File ""/workspace/src/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 103, in target report = worker(*worker_args) File ""/workspace/src/optimum-benchmark/optimum_benchmark/benchmark/base.py"", line 78, in run report = scenario.run(backend) File ""/workspace/src/optimum-benchmark/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run self.run_model_loading_tracking(backend) File ""/workspace/src/optimum-benchmark/optimum_benchmark/scenarios/inference/scenario.py"", line 168, in run_model_loading_tracking backend.load() File ""/workspace/src/optimum-benchmark/optimum_benchmark/backends/onnxruntime/backend.py"", line 86, in load self.load_ortmodel_with_no_weights() File ""/workspace/src/optimum-benchmark/optimum_benchmark/backends/onnxruntime/backend.py"", line 133, in load_ortmodel_with_no_weights self.load_ortmodel_from_pretrained() File ""/workspace/src/optimum-benchmark/optimum_benchmark/backends/onnxruntime/backend.py"", line 118, in load_ortmodel_from_pretrained self.pretrained_model = self.ort_model_loader.from_pretrained( File ""/usr/local/lib/python3.10/dist-packages/optimum/onnxruntime/modeling_ort.py"", line 737, in from_pretrained return super().from_pretrained( File ""/usr/local/lib/python3.10/dist-packages/optimum/modeling_base.py"", line 438, in from_pretrained return from_pretrained_method( File ""/usr/local/lib/python3.10/dist-packages/optimum/onnxruntime/modeling_decoder.py"", line 653, in _from_transformers main_export( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/__main__.py"", line 373, in main_export onnx_export_from_model( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 1193, in onnx_export_from_model _, onnx_outputs = export_models( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 783, in export_models export( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 888, in export export_output = export_pytorch( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 584, in export_pytorch onnx_export( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/__init__.py"", line 375, in export export( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py"", line 502, in export _export( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py"", line 1564, in _export graph, params_dict, torch_out = _model_to_graph( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py"", line 1117, in _model_to_graph graph = _optimize_graph( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py"", line 663, in _optimize_graph _C._jit_pass_onnx_graph_shape_type_inference( RuntimeError: The serialized model is larger than the 2GiB limit imposed by the protobuf library. Therefore the output file must be a file path, so that the ONNX external data can be written to the same directory. Please specify the output file name. " float16-sdpa-onnxruntime,onnxruntime,ort:1.19.2,optimum_benchmark.backends.onnxruntime.backend.ORTBackend,text-generation,transformers,llama,meta-llama/Llama-3.1-405B,meta-llama/Llama-3.1-405B,cpu,0,42,,,True,True,True,True,False,float16,CPUExecutionProvider,True,,,,False,False,False,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.226-214.880.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.5.0.dev0,08c9f59440cf4e5a5d6711ec19e8329ab2de652d,4.45.2,,1.0.1,,,,1.23.2,,,,,,False,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/src/optimum-benchmark/optimum_benchmark/benchmark/base.py"", line 51, in launch report = launcher.launch(worker=Benchmark.run, worker_args=[config]) File ""/workspace/src/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 57, in launch raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"") RuntimeError: Isolated process exited with non-zero code -9 " float16-sdpa-onnxruntime,onnxruntime,ort:1.19.2,optimum_benchmark.backends.onnxruntime.backend.ORTBackend,text-generation,transformers,llama,meta-llama/Meta-Llama-3-8B,meta-llama/Meta-Llama-3-8B,cpu,0,42,,,True,True,True,True,False,float16,CPUExecutionProvider,True,,,,False,False,False,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.226-214.880.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.5.0.dev0,08c9f59440cf4e5a5d6711ec19e8329ab2de652d,4.45.2,,1.0.1,,,,1.23.2,,,,,,False,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/src/optimum-benchmark/optimum_benchmark/benchmark/base.py"", line 51, in launch report = launcher.launch(worker=Benchmark.run, worker_args=[config]) File ""/workspace/src/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch raise ChildProcessError(response[""traceback""]) ChildProcessError: Traceback (most recent call last): File ""/workspace/src/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 103, in target report = worker(*worker_args) File ""/workspace/src/optimum-benchmark/optimum_benchmark/benchmark/base.py"", line 78, in run report = scenario.run(backend) File ""/workspace/src/optimum-benchmark/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run self.run_model_loading_tracking(backend) File ""/workspace/src/optimum-benchmark/optimum_benchmark/scenarios/inference/scenario.py"", line 168, in run_model_loading_tracking backend.load() File ""/workspace/src/optimum-benchmark/optimum_benchmark/backends/onnxruntime/backend.py"", line 86, in load self.load_ortmodel_with_no_weights() File ""/workspace/src/optimum-benchmark/optimum_benchmark/backends/onnxruntime/backend.py"", line 133, in load_ortmodel_with_no_weights self.load_ortmodel_from_pretrained() File ""/workspace/src/optimum-benchmark/optimum_benchmark/backends/onnxruntime/backend.py"", line 118, in load_ortmodel_from_pretrained self.pretrained_model = self.ort_model_loader.from_pretrained( File ""/usr/local/lib/python3.10/dist-packages/optimum/onnxruntime/modeling_ort.py"", line 737, in from_pretrained return super().from_pretrained( File ""/usr/local/lib/python3.10/dist-packages/optimum/modeling_base.py"", line 438, in from_pretrained return from_pretrained_method( File ""/usr/local/lib/python3.10/dist-packages/optimum/onnxruntime/modeling_decoder.py"", line 653, in _from_transformers main_export( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/__main__.py"", line 373, in main_export onnx_export_from_model( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 1193, in onnx_export_from_model _, onnx_outputs = export_models( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 783, in export_models export( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 888, in export export_output = export_pytorch( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 584, in export_pytorch onnx_export( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/__init__.py"", line 375, in export export( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py"", line 502, in export _export( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py"", line 1564, in _export graph, params_dict, torch_out = _model_to_graph( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py"", line 1117, in _model_to_graph graph = _optimize_graph( File ""/usr/local/lib/python3.10/dist-packages/torch/onnx/utils.py"", line 663, in _optimize_graph _C._jit_pass_onnx_graph_shape_type_inference( RuntimeError: The serialized model is larger than the 2GiB limit imposed by the protobuf library. Therefore the output file must be a file path, so that the ONNX external data can be written to the same directory. Please specify the output file name. " float16-eager-onnxruntime,onnxruntime,ort:1.19.2,optimum_benchmark.backends.onnxruntime.backend.ORTBackend,text-generation,transformers,phi3,microsoft/Phi-3-mini-4k-instruct,microsoft/Phi-3-mini-4k-instruct,cpu,0,42,,,True,True,True,True,False,float16,CPUExecutionProvider,True,,,,False,False,False,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.226-214.879.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.5.0.dev0,08c9f59440cf4e5a5d6711ec19e8329ab2de652d,4.45.2,,1.0.1,,,,1.23.1,,,,,,False,True,MB,34286.075904,,,,,s,[272.2073862550001],1,272.2073862550001,272.2073862550001,272.2073862550001,272.2073862550001,272.2073862550001,272.2073862550001,0,0,,,,MB,33868.652544,,,,,s,"[1.1777870480000274, 1.145514639999874, 1.1488038689999485, 1.1484755510000468, 1.1572717720000583, 1.162865163999868, 1.1467682859997694, 1.1460784050000257, 1.16067947800002, 1.1483382900000834]",10,11.542582502999721,1.154258250299972,1.1486397099999976,1.1643573523998838,1.1710722001999556,1.176444078440013,0.009877716005237994,0.855763084445872,tokens/s,221.7874552193757,kWh,1.4131339937083285e-05,7.701916767722612e-06,0.0,2.1833256704805896e-05,tokens/kWh,11725231.991782965,MB,33874.034688,,,,,s,"[6.83326155199984, 6.852074153000103, 6.884774439000012, 6.867802160999872, 6.846442974000183, 6.883950839000136, 6.921030582000185, 6.905877676999808, 6.908218690000012, 6.866864280999835]",10,68.77029734799999,6.877029734799999,6.875876500000004,6.9094998792000295,6.915265230600108,6.91987751172017,0.02740689834783486,0.39852813503404055,tokens/s,9.160931743714817,kWh,8.041561202701381e-05,4.382966722943726e-05,0.0,0.00012424527925645107,tokens/kWh,507061.5187717799,,s,"[0.12143172199967012, 0.12359889700019266, 0.10704690200009281, 0.10600124999973559, 0.11151505400039241, 0.1075056869999571, 0.11015958999996656, 0.11222302399983164, 0.10692136699981347, 0.10763390000010986, 0.10644122300027448, 0.10879040700001497, 0.1074887619997753, 0.10823942600018199, 0.10774829599995428, 0.10618057500005307, 0.10793041399983849, 0.10851900299985573, 0.10630939900011072, 0.10771249700019325, 0.10733047899975645, 0.10672880399988571, 0.10673071400015033, 0.10662184300008448, 0.10705056200004037, 0.10653540299972519, 0.10845255000003817, 0.11077913500002978, 0.10707749700031854, 0.10854775799998606, 0.10718495199989775, 0.10825604100000419, 0.10740879400009362, 0.10788346899971657, 0.10797829700004513, 0.10829205500021999, 0.10924603700004809, 0.10769787299977907, 0.10759934199995769, 0.10722581700019873, 0.10750103400005173, 0.1073845769997206, 0.10687624699994558, 0.10656461500002479, 0.10721396400003869, 0.10785885699988285, 0.10865553000030559, 0.10967297799970765, 0.10932092500024737, 0.10931743899982393, 0.10936928799992529, 0.10807589800015194, 0.1072212330000184, 0.10988252100014506, 0.10814271699973688, 0.10741673600023205, 0.10856665699975565, 0.10763498400001481, 0.10848260400007348, 0.1091438170001311, 0.10750811900015833, 0.10781872999996267, 0.10883472699970298, 0.12504374899981485, 0.12503201100025763, 0.10992431799968472, 0.1087180399999852, 0.1074154340003588, 0.10658782099972086, 0.10665382200022577, 0.10692523099987739, 0.10983701699979065, 0.11173972699998558, 0.11043754500042269, 0.1074408169997696, 0.10714935699979833, 0.10607076100041013, 0.10709133199998178, 0.106463882999833, 0.10677307200012365, 0.1073594569998022, 0.10710957299988877, 0.10838891000003059, 0.10749366000027294, 0.10780116799969619, 0.10869866400025785, 0.11048195200010014, 0.10666540399961377, 0.10998628100014685, 0.11211170100023082, 0.10855705499989199, 0.10634795999976632, 0.10866533100033848, 0.10926225000002887, 0.10735651899994991, 0.10751852699968367, 0.10727097400013008, 0.10900915599995642, 0.10863337199998568, 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0.033555838999973275, 0.025240530000019135, 0.02537611200000356, 0.025079277000031652, 0.033644359999925655, 0.025336170999935348, 0.0251340090001122, 0.025298759999941467, 0.03391684600001099, 0.025853875999928277, 0.025613403000079416, 0.03370541100002811, 0.025347355999883803, 0.025244442000030176, 0.025177196999948137, 0.03350988700003654, 0.02538402599998335, 0.025211437000052683, 0.03353868900012458, 0.025400250999837226, 0.025183550000065225, 0.02518865199999709, 0.03372026600004574, 0.025761822000049506, 0.025375703000008798, 0.025258342999904926, 0.033672058000092875, 0.025382755000009638]",630,17.350551536999774,0.027540557995237736,0.025432400999989113,0.03374319900012779,0.03402013694992547,0.034917883060034,0.0037000984840046295,13.4350890226859,tokens/s,36.31008493629353,,, bfloat16-sdpa-onnxruntime,onnxruntime,ort:1.19.2,optimum_benchmark.backends.onnxruntime.backend.ORTBackend,text-generation,transformers,gemma2,google/gemma-2-2b,google/gemma-2-2b,cpu,0,42,,,True,True,True,True,False,bfloat16,CPUExecutionProvider,True,,,,False,False,False,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.226-214.880.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.5.0.dev0,08c9f59440cf4e5a5d6711ec19e8329ab2de652d,4.45.2,,1.0.1,,,,1.23.2,,,,,,False,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/src/optimum-benchmark/optimum_benchmark/benchmark/base.py"", line 51, in launch report = launcher.launch(worker=Benchmark.run, worker_args=[config]) File ""/workspace/src/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch raise ChildProcessError(response[""traceback""]) ChildProcessError: Traceback (most recent call last): File ""/workspace/src/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 103, in target report = worker(*worker_args) File ""/workspace/src/optimum-benchmark/optimum_benchmark/benchmark/base.py"", line 78, in run report = scenario.run(backend) File ""/workspace/src/optimum-benchmark/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run self.run_model_loading_tracking(backend) File ""/workspace/src/optimum-benchmark/optimum_benchmark/scenarios/inference/scenario.py"", line 168, in run_model_loading_tracking backend.load() File ""/workspace/src/optimum-benchmark/optimum_benchmark/backends/onnxruntime/backend.py"", line 86, in load self.load_ortmodel_with_no_weights() File ""/workspace/src/optimum-benchmark/optimum_benchmark/backends/onnxruntime/backend.py"", line 133, in load_ortmodel_with_no_weights self.load_ortmodel_from_pretrained() File ""/workspace/src/optimum-benchmark/optimum_benchmark/backends/onnxruntime/backend.py"", line 118, in load_ortmodel_from_pretrained self.pretrained_model = self.ort_model_loader.from_pretrained( File ""/usr/local/lib/python3.10/dist-packages/optimum/onnxruntime/modeling_ort.py"", line 737, in from_pretrained return super().from_pretrained( File ""/usr/local/lib/python3.10/dist-packages/optimum/modeling_base.py"", line 438, in from_pretrained return from_pretrained_method( File ""/usr/local/lib/python3.10/dist-packages/optimum/onnxruntime/modeling_decoder.py"", line 653, in _from_transformers main_export( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/__main__.py"", line 373, in main_export onnx_export_from_model( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 1055, in onnx_export_from_model raise ValueError( ValueError: Trying to export a gemma2 model, that is a custom or unsupported architecture, but no custom onnx configuration was passed as `custom_onnx_configs`. Please refer to https://huggingface.co/docs/optimum/main/en/exporters/onnx/usage_guides/export_a_model#custom-export-of-transformers-models for an example on how to export custom models. Please open an issue at https://github.com/huggingface/optimum/issues if you would like the model type gemma2 to be supported natively in the ONNX export. " float16-eager-onnxruntime,onnxruntime,ort:1.19.2,optimum_benchmark.backends.onnxruntime.backend.ORTBackend,text-generation,transformers,gemma2,google/gemma-2-2b,google/gemma-2-2b,cpu,0,42,,,True,True,True,True,False,float16,CPUExecutionProvider,True,,,,False,False,False,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.226-214.880.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.5.0.dev0,08c9f59440cf4e5a5d6711ec19e8329ab2de652d,4.45.2,,1.0.1,,,,1.23.2,,,,,,False,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/src/optimum-benchmark/optimum_benchmark/benchmark/base.py"", line 51, in launch report = launcher.launch(worker=Benchmark.run, worker_args=[config]) File ""/workspace/src/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch raise ChildProcessError(response[""traceback""]) ChildProcessError: Traceback (most recent call last): File ""/workspace/src/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 103, in target report = worker(*worker_args) File ""/workspace/src/optimum-benchmark/optimum_benchmark/benchmark/base.py"", line 78, in run report = scenario.run(backend) File ""/workspace/src/optimum-benchmark/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run self.run_model_loading_tracking(backend) File ""/workspace/src/optimum-benchmark/optimum_benchmark/scenarios/inference/scenario.py"", line 168, in run_model_loading_tracking backend.load() File ""/workspace/src/optimum-benchmark/optimum_benchmark/backends/onnxruntime/backend.py"", line 86, in load self.load_ortmodel_with_no_weights() File ""/workspace/src/optimum-benchmark/optimum_benchmark/backends/onnxruntime/backend.py"", line 133, in load_ortmodel_with_no_weights self.load_ortmodel_from_pretrained() File ""/workspace/src/optimum-benchmark/optimum_benchmark/backends/onnxruntime/backend.py"", line 118, in load_ortmodel_from_pretrained self.pretrained_model = self.ort_model_loader.from_pretrained( File ""/usr/local/lib/python3.10/dist-packages/optimum/onnxruntime/modeling_ort.py"", line 737, in from_pretrained return super().from_pretrained( File ""/usr/local/lib/python3.10/dist-packages/optimum/modeling_base.py"", line 438, in from_pretrained return from_pretrained_method( File ""/usr/local/lib/python3.10/dist-packages/optimum/onnxruntime/modeling_decoder.py"", line 653, in _from_transformers main_export( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/__main__.py"", line 373, in main_export onnx_export_from_model( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 1055, in onnx_export_from_model raise ValueError( ValueError: Trying to export a gemma2 model, that is a custom or unsupported architecture, but no custom onnx configuration was passed as `custom_onnx_configs`. Please refer to https://huggingface.co/docs/optimum/main/en/exporters/onnx/usage_guides/export_a_model#custom-export-of-transformers-models for an example on how to export custom models. Please open an issue at https://github.com/huggingface/optimum/issues if you would like the model type gemma2 to be supported natively in the ONNX export. " float16-sdpa-onnxruntime,onnxruntime,ort:1.19.2,optimum_benchmark.backends.onnxruntime.backend.ORTBackend,text-generation,transformers,gemma2,google/gemma-2-2b,google/gemma-2-2b,cpu,0,42,,,True,True,True,True,False,float16,CPUExecutionProvider,True,,,,False,False,False,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.226-214.880.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.5.0.dev0,08c9f59440cf4e5a5d6711ec19e8329ab2de652d,4.45.2,,1.0.1,,,,1.23.2,,,,,,False,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/src/optimum-benchmark/optimum_benchmark/benchmark/base.py"", line 51, in launch report = launcher.launch(worker=Benchmark.run, worker_args=[config]) File ""/workspace/src/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch raise ChildProcessError(response[""traceback""]) ChildProcessError: Traceback (most recent call last): File ""/workspace/src/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 103, in target report = worker(*worker_args) File ""/workspace/src/optimum-benchmark/optimum_benchmark/benchmark/base.py"", line 78, in run report = scenario.run(backend) File ""/workspace/src/optimum-benchmark/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run self.run_model_loading_tracking(backend) File ""/workspace/src/optimum-benchmark/optimum_benchmark/scenarios/inference/scenario.py"", line 168, in run_model_loading_tracking backend.load() File ""/workspace/src/optimum-benchmark/optimum_benchmark/backends/onnxruntime/backend.py"", line 86, in load self.load_ortmodel_with_no_weights() File ""/workspace/src/optimum-benchmark/optimum_benchmark/backends/onnxruntime/backend.py"", line 133, in load_ortmodel_with_no_weights self.load_ortmodel_from_pretrained() File ""/workspace/src/optimum-benchmark/optimum_benchmark/backends/onnxruntime/backend.py"", line 118, in load_ortmodel_from_pretrained self.pretrained_model = self.ort_model_loader.from_pretrained( File ""/usr/local/lib/python3.10/dist-packages/optimum/onnxruntime/modeling_ort.py"", line 737, in from_pretrained return super().from_pretrained( File ""/usr/local/lib/python3.10/dist-packages/optimum/modeling_base.py"", line 438, in from_pretrained return from_pretrained_method( File ""/usr/local/lib/python3.10/dist-packages/optimum/onnxruntime/modeling_decoder.py"", line 653, in _from_transformers main_export( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/__main__.py"", line 373, in main_export onnx_export_from_model( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 1055, in onnx_export_from_model raise ValueError( ValueError: Trying to export a gemma2 model, that is a custom or unsupported architecture, but no custom onnx configuration was passed as `custom_onnx_configs`. Please refer to https://huggingface.co/docs/optimum/main/en/exporters/onnx/usage_guides/export_a_model#custom-export-of-transformers-models for an example on how to export custom models. Please open an issue at https://github.com/huggingface/optimum/issues if you would like the model type gemma2 to be supported natively in the ONNX export. " bfloat16-eager-onnxruntime,onnxruntime,ort:1.19.2,optimum_benchmark.backends.onnxruntime.backend.ORTBackend,text-generation,transformers,gemma2,google/gemma-2-2b,google/gemma-2-2b,cpu,0,42,,,True,True,True,True,False,bfloat16,CPUExecutionProvider,True,,,,False,False,False,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.226-214.880.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.5.0.dev0,08c9f59440cf4e5a5d6711ec19e8329ab2de652d,4.45.2,,1.0.1,,,,1.23.2,,,,,,False,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/src/optimum-benchmark/optimum_benchmark/benchmark/base.py"", line 51, in launch report = launcher.launch(worker=Benchmark.run, worker_args=[config]) File ""/workspace/src/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch raise ChildProcessError(response[""traceback""]) ChildProcessError: Traceback (most recent call last): File ""/workspace/src/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 103, in target report = worker(*worker_args) File ""/workspace/src/optimum-benchmark/optimum_benchmark/benchmark/base.py"", line 78, in run report = scenario.run(backend) File ""/workspace/src/optimum-benchmark/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run self.run_model_loading_tracking(backend) File ""/workspace/src/optimum-benchmark/optimum_benchmark/scenarios/inference/scenario.py"", line 168, in run_model_loading_tracking backend.load() File ""/workspace/src/optimum-benchmark/optimum_benchmark/backends/onnxruntime/backend.py"", line 86, in load self.load_ortmodel_with_no_weights() File ""/workspace/src/optimum-benchmark/optimum_benchmark/backends/onnxruntime/backend.py"", line 133, in load_ortmodel_with_no_weights self.load_ortmodel_from_pretrained() File ""/workspace/src/optimum-benchmark/optimum_benchmark/backends/onnxruntime/backend.py"", line 118, in load_ortmodel_from_pretrained self.pretrained_model = self.ort_model_loader.from_pretrained( File ""/usr/local/lib/python3.10/dist-packages/optimum/onnxruntime/modeling_ort.py"", line 737, in from_pretrained return super().from_pretrained( File ""/usr/local/lib/python3.10/dist-packages/optimum/modeling_base.py"", line 438, in from_pretrained return from_pretrained_method( File ""/usr/local/lib/python3.10/dist-packages/optimum/onnxruntime/modeling_decoder.py"", line 653, in _from_transformers main_export( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/__main__.py"", line 373, in main_export onnx_export_from_model( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 1055, in onnx_export_from_model raise ValueError( ValueError: Trying to export a gemma2 model, that is a custom or unsupported architecture, but no custom onnx configuration was passed as `custom_onnx_configs`. Please refer to https://huggingface.co/docs/optimum/main/en/exporters/onnx/usage_guides/export_a_model#custom-export-of-transformers-models for an example on how to export custom models. Please open an issue at https://github.com/huggingface/optimum/issues if you would like the model type gemma2 to be supported natively in the ONNX export. " float32-eager-onnxruntime,onnxruntime,ort:1.19.2,optimum_benchmark.backends.onnxruntime.backend.ORTBackend,text-generation,transformers,gemma2,google/gemma-2-2b,google/gemma-2-2b,cpu,0,42,,,True,True,True,True,False,float32,CPUExecutionProvider,True,,,,False,False,False,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.226-214.880.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.5.0.dev0,08c9f59440cf4e5a5d6711ec19e8329ab2de652d,4.45.2,,1.0.1,,,,1.23.2,,,,,,False,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/src/optimum-benchmark/optimum_benchmark/benchmark/base.py"", line 51, in launch report = launcher.launch(worker=Benchmark.run, worker_args=[config]) File ""/workspace/src/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch raise ChildProcessError(response[""traceback""]) ChildProcessError: Traceback (most recent call last): File ""/workspace/src/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 103, in target report = worker(*worker_args) File ""/workspace/src/optimum-benchmark/optimum_benchmark/benchmark/base.py"", line 78, in run report = scenario.run(backend) File ""/workspace/src/optimum-benchmark/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run self.run_model_loading_tracking(backend) File ""/workspace/src/optimum-benchmark/optimum_benchmark/scenarios/inference/scenario.py"", line 168, in run_model_loading_tracking backend.load() File ""/workspace/src/optimum-benchmark/optimum_benchmark/backends/onnxruntime/backend.py"", line 86, in load self.load_ortmodel_with_no_weights() File ""/workspace/src/optimum-benchmark/optimum_benchmark/backends/onnxruntime/backend.py"", line 133, in load_ortmodel_with_no_weights self.load_ortmodel_from_pretrained() File ""/workspace/src/optimum-benchmark/optimum_benchmark/backends/onnxruntime/backend.py"", line 118, in load_ortmodel_from_pretrained self.pretrained_model = self.ort_model_loader.from_pretrained( File ""/usr/local/lib/python3.10/dist-packages/optimum/onnxruntime/modeling_ort.py"", line 737, in from_pretrained return super().from_pretrained( File ""/usr/local/lib/python3.10/dist-packages/optimum/modeling_base.py"", line 438, in from_pretrained return from_pretrained_method( File ""/usr/local/lib/python3.10/dist-packages/optimum/onnxruntime/modeling_decoder.py"", line 653, in _from_transformers main_export( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/__main__.py"", line 373, in main_export onnx_export_from_model( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 1055, in onnx_export_from_model raise ValueError( ValueError: Trying to export a gemma2 model, that is a custom or unsupported architecture, but no custom onnx configuration was passed as `custom_onnx_configs`. Please refer to https://huggingface.co/docs/optimum/main/en/exporters/onnx/usage_guides/export_a_model#custom-export-of-transformers-models for an example on how to export custom models. Please open an issue at https://github.com/huggingface/optimum/issues if you would like the model type gemma2 to be supported natively in the ONNX export. " float32-sdpa-onnxruntime,onnxruntime,ort:1.19.2,optimum_benchmark.backends.onnxruntime.backend.ORTBackend,text-generation,transformers,gemma2,google/gemma-2-2b,google/gemma-2-2b,cpu,0,42,,,True,True,True,True,False,float32,CPUExecutionProvider,True,,,,False,False,False,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.226-214.880.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.5.0.dev0,08c9f59440cf4e5a5d6711ec19e8329ab2de652d,4.45.2,,1.0.1,,,,1.23.2,,,,,,False,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/src/optimum-benchmark/optimum_benchmark/benchmark/base.py"", line 51, in launch report = launcher.launch(worker=Benchmark.run, worker_args=[config]) File ""/workspace/src/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch raise ChildProcessError(response[""traceback""]) ChildProcessError: Traceback (most recent call last): File ""/workspace/src/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 103, in target report = worker(*worker_args) File ""/workspace/src/optimum-benchmark/optimum_benchmark/benchmark/base.py"", line 78, in run report = scenario.run(backend) File ""/workspace/src/optimum-benchmark/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run self.run_model_loading_tracking(backend) File ""/workspace/src/optimum-benchmark/optimum_benchmark/scenarios/inference/scenario.py"", line 168, in run_model_loading_tracking backend.load() File ""/workspace/src/optimum-benchmark/optimum_benchmark/backends/onnxruntime/backend.py"", line 86, in load self.load_ortmodel_with_no_weights() File ""/workspace/src/optimum-benchmark/optimum_benchmark/backends/onnxruntime/backend.py"", line 133, in load_ortmodel_with_no_weights self.load_ortmodel_from_pretrained() File ""/workspace/src/optimum-benchmark/optimum_benchmark/backends/onnxruntime/backend.py"", line 118, in load_ortmodel_from_pretrained self.pretrained_model = self.ort_model_loader.from_pretrained( File ""/usr/local/lib/python3.10/dist-packages/optimum/onnxruntime/modeling_ort.py"", line 737, in from_pretrained return super().from_pretrained( File ""/usr/local/lib/python3.10/dist-packages/optimum/modeling_base.py"", line 438, in from_pretrained return from_pretrained_method( File ""/usr/local/lib/python3.10/dist-packages/optimum/onnxruntime/modeling_decoder.py"", line 653, in _from_transformers main_export( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/__main__.py"", line 373, in main_export onnx_export_from_model( File ""/usr/local/lib/python3.10/dist-packages/optimum/exporters/onnx/convert.py"", line 1055, in onnx_export_from_model raise ValueError( ValueError: Trying to export a gemma2 model, that is a custom or unsupported architecture, but no custom onnx configuration was passed as `custom_onnx_configs`. Please refer to https://huggingface.co/docs/optimum/main/en/exporters/onnx/usage_guides/export_a_model#custom-export-of-transformers-models for an example on how to export custom models. Please open an issue at https://github.com/huggingface/optimum/issues if you would like the model type gemma2 to be supported natively in the ONNX export. "